Capacity and Delay Tradeoff of Secondary Cellular Networks with Spectrum Aggregation

Lingyu Chen, Chen Liu, Xuemin Hong, Cheng-Xiang Wang, John Thompson, Jianghong Shi

Research output: Contribution to journalArticle

Abstract

Cellular communication networks are plagued with redundant capacity, which results in low utilization and costeffectiveness of network capital investments. The redundant capacity can be exploited to deliver secondary traffic that is ultra-elastic and delay-tolerant. In this paper, we propose an analytical framework to study the capacity-delay tradeoff of elastic/secondary traffic in large scale cellular networks with spectrum aggregation. Our framework integrates stochastic geometry and queueing theory models and gives analytical insights into the capacity-delay performance in the interference limited regime. Closed-form results are obtained to characterize the mean delay and delay distribution as functions of per user throughput capacity. The impacts of spectrum aggregation, user and base station (BS) densities, traffic session payload, and primary traffic dynamics on the capacity-delay tradeoff relationship are investigated. The fundamental capacity limit is derived and its scaling behavior is revealed. Our analysis shows the feasibility of providing secondary communication services over cellular networks and highlights some critical design issues.

Original languageEnglish
JournalIEEE Transactions on Wireless Communications
Early online date30 Mar 2018
DOIs
Publication statusE-pub ahead of print - 30 Mar 2018

Fingerprint

Cellular Networks
Aggregation
Agglomeration
Trade-offs
Queueing theory
Cellular radio systems
Base stations
Telecommunication networks
Throughput
Traffic
Geometry
Communication
Stochastic Geometry
Traffic Dynamics
Queueing Theory
Cost-effectiveness
Scaling Behavior
Communication Networks
Closed-form
Interference

Keywords

  • Capacity-delay tradeoff
  • cellular network
  • Cellular networks
  • Computational modeling
  • Delays
  • elastic traffic
  • Interference
  • Numerical models
  • secondary traffic
  • spectrum aggregation
  • Stochastic processes
  • Wireless communication

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

@article{265e00b3fbbe4be187064de30c9410e4,
title = "Capacity and Delay Tradeoff of Secondary Cellular Networks with Spectrum Aggregation",
abstract = "Cellular communication networks are plagued with redundant capacity, which results in low utilization and costeffectiveness of network capital investments. The redundant capacity can be exploited to deliver secondary traffic that is ultra-elastic and delay-tolerant. In this paper, we propose an analytical framework to study the capacity-delay tradeoff of elastic/secondary traffic in large scale cellular networks with spectrum aggregation. Our framework integrates stochastic geometry and queueing theory models and gives analytical insights into the capacity-delay performance in the interference limited regime. Closed-form results are obtained to characterize the mean delay and delay distribution as functions of per user throughput capacity. The impacts of spectrum aggregation, user and base station (BS) densities, traffic session payload, and primary traffic dynamics on the capacity-delay tradeoff relationship are investigated. The fundamental capacity limit is derived and its scaling behavior is revealed. Our analysis shows the feasibility of providing secondary communication services over cellular networks and highlights some critical design issues.",
keywords = "Capacity-delay tradeoff, cellular network, Cellular networks, Computational modeling, Delays, elastic traffic, Interference, Numerical models, secondary traffic, spectrum aggregation, Stochastic processes, Wireless communication",
author = "Lingyu Chen and Chen Liu and Xuemin Hong and Cheng-Xiang Wang and John Thompson and Jianghong Shi",
year = "2018",
month = "3",
day = "30",
doi = "10.1109/TWC.2018.2818730",
language = "English",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "IEEE",

}

Capacity and Delay Tradeoff of Secondary Cellular Networks with Spectrum Aggregation. / Chen, Lingyu; Liu, Chen; Hong, Xuemin; Wang, Cheng-Xiang; Thompson, John; Shi, Jianghong.

In: IEEE Transactions on Wireless Communications, 30.03.2018.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Capacity and Delay Tradeoff of Secondary Cellular Networks with Spectrum Aggregation

AU - Chen, Lingyu

AU - Liu, Chen

AU - Hong, Xuemin

AU - Wang, Cheng-Xiang

AU - Thompson, John

AU - Shi, Jianghong

PY - 2018/3/30

Y1 - 2018/3/30

N2 - Cellular communication networks are plagued with redundant capacity, which results in low utilization and costeffectiveness of network capital investments. The redundant capacity can be exploited to deliver secondary traffic that is ultra-elastic and delay-tolerant. In this paper, we propose an analytical framework to study the capacity-delay tradeoff of elastic/secondary traffic in large scale cellular networks with spectrum aggregation. Our framework integrates stochastic geometry and queueing theory models and gives analytical insights into the capacity-delay performance in the interference limited regime. Closed-form results are obtained to characterize the mean delay and delay distribution as functions of per user throughput capacity. The impacts of spectrum aggregation, user and base station (BS) densities, traffic session payload, and primary traffic dynamics on the capacity-delay tradeoff relationship are investigated. The fundamental capacity limit is derived and its scaling behavior is revealed. Our analysis shows the feasibility of providing secondary communication services over cellular networks and highlights some critical design issues.

AB - Cellular communication networks are plagued with redundant capacity, which results in low utilization and costeffectiveness of network capital investments. The redundant capacity can be exploited to deliver secondary traffic that is ultra-elastic and delay-tolerant. In this paper, we propose an analytical framework to study the capacity-delay tradeoff of elastic/secondary traffic in large scale cellular networks with spectrum aggregation. Our framework integrates stochastic geometry and queueing theory models and gives analytical insights into the capacity-delay performance in the interference limited regime. Closed-form results are obtained to characterize the mean delay and delay distribution as functions of per user throughput capacity. The impacts of spectrum aggregation, user and base station (BS) densities, traffic session payload, and primary traffic dynamics on the capacity-delay tradeoff relationship are investigated. The fundamental capacity limit is derived and its scaling behavior is revealed. Our analysis shows the feasibility of providing secondary communication services over cellular networks and highlights some critical design issues.

KW - Capacity-delay tradeoff

KW - cellular network

KW - Cellular networks

KW - Computational modeling

KW - Delays

KW - elastic traffic

KW - Interference

KW - Numerical models

KW - secondary traffic

KW - spectrum aggregation

KW - Stochastic processes

KW - Wireless communication

UR - http://www.scopus.com/inward/record.url?scp=85044793801&partnerID=8YFLogxK

U2 - 10.1109/TWC.2018.2818730

DO - 10.1109/TWC.2018.2818730

M3 - Article

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

ER -